100 Hours
This course offers a comprehensive introduction to Google Cloud Platform (GCP), covering cloud fundamentals, core services, and deployment models. You'll learn how GCP's global infrastructure supports scalable, secure, and cost-effective solutions for businesses. It also covers Identity and Access Management (IAM), pricing, billing, and best practices for managing cloud resources securely.
The course dives deep into compute services like Compute Engine, GKE, App Engine, and Cloud Functions. You’ll explore networking, storage, databases, machine learning with Vertex AI, and big data tools like BigQuery and Dataflow. DevOps practices using tools like Terraform, Cloud Build, and Cloud Composer are also included for real-world automation.
Hands-on projects simulate real-world scenarios such as building web apps, microservices, and ML model deployment. The program wraps up with certification prep, mock exams, and soft skills training to help you confidently apply for roles like Cloud Engineer or DevOps Professional.
Python / R / SQL / Power BI / Excel / Google Sheets / SAS / SPSS Pandas / NumPy / Jupyter Notebook / Looker / Rapid Miner
Cloud Engineer | GCP Certified Trainer
V.Dinesh Kumar is a GCP-certified cloud engineer with hands-on experience in cloud deployment, big data tools, and Kubernetes. He trains students to build, manage, and optimize cloud-native applications on GCP.
188 Students
4 (36 Review)
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